Senior Software Engineer - Maia Model Enablement

The Maia Model Enablement team owns the end-to-end technical work required to bring frontier AI models onto Microsoft's AI accelerators and make them successful in production. Our work spans model enablement, performance optimization, serving capabilities, validation infrastructure, hardware bring-up, and cross-stack debugging.     We are looking for a Senior Software Engineer who enjoys solving complex, end-to-end systems challenges at the intersection of AI models, software, and hardware. Successful engineers combine deep technical expertise, strong systems thinking, and the ability to quickly become effective in new domains while driving measurable impact in production.   At Microsoft, our mission to empower every person and every organization on the planet to achieve more guides how we partner with customers to deliver trusted, impactful solutions. With a growth mindset culture, we innovate responsibly and measure success by shared progress people, teams, and customers. Join us to do meaningful work that changes the world and helps shape what’s next for everyone.

What You’ll Do   Bring new AI models and model architectures to Maia.   Diagnose and resolve issues across software, systems, and hardware layers.   Improve performance, scalability, and serving capabilities for production AI workloads.   Build automation, validation infrastructure, and engineering systems that accelerate model onboarding.   Partner across model, runtime, infrastructure, and hardware teams to remove obstacles and deliver production impact.     How We Work   We work across the entire software stack, from model architectures and serving systems to infrastructure and hardware interactions.   The problems we solve evolve throughout the lifecycle of both models and hardware platforms. Engineers on the team regularly become effective in new domains and develop deep expertise when needed.   We rely heavily on measurement, experimentation, automation, and AI-assisted engineering workflows to move quickly and scale our impact.   We partner closely with model, software, and hardware teams to deliver production-ready solutions.     Success Looks Like   A new model architecture can run correctly on Maia.   Production models achieve performance, scalability, and reliability targets.   Bottlenecks are identified and resolved regardless of where they exist in the stack.   New hardware generations become usable by model teams.   Model onboarding becomes faster, more repeatable, and less operationally intensive.

Required/Minimum Qualifications:  Bachelor’s Degree in Computer Science or a related technical field and 4+ years of technical engineering experience coding in languages such as C++, or Python, or equivalent experience.    Other Requirements:  Ability to meet Microsoft, customer and/or government security screening requirements are required for this role. These requirements include but are not limited to the following specialized security screenings: Microsoft Cloud Background Check: This position will be required to pass the Microsoft Cloud background check upon hire/transfer and every two years thereafter.    Additional or Preferred qualifications: Understanding of modern AI model architectures, inference systems, and performance characteristics. Experience working with AI/ML frameworks, runtimes, or serving stacks such as  PyTorch , ONNX Runtime, vLLM , TensorRT -LLM, or similar technologies. Experience diagnosing and resolving complex issues across software, systems, and hardware layers. Familiarity with performance analysis, distributed systems, accelerator architectures, or large-scale production services. Experience enabling software on new hardware platforms, accelerators, or large-scale systems through activities such as bring-up, performance characterization,  hardware-software debugging, or platform enablement. Experience using AI-assisted engineering